Analysis of the Successful and Bankrupt Digital Currency Exchanges Based on Open Data

In this work we proposed two models on prediction of the successful and bankrupt digital currency exchanges based on financial data and measures collected from Wikipedia and Wikidata. The purpose of the article is to indicate how intermediary entities providing services related to innovative digital asset markets are characterized in the dominant open online sources. At the same time, this information is related to the knowledge flowing from portals and knowledge bases specializing in crypto-assets. Such a comparison of data and knowledge from two of the aforementioned groups of sources is intended to identify important aspects that objectify the risk analysis process for the selected group of entities. Risk analysis requires obtaining data and knowledge from a variety of sources, as objective as possible. This is the main precondition for having satisfactory and reliable results. Such analysis is necessary in order to make a better selection of intermediary entities for transactions carried out with digital means of exchange of value, and thus should significantly increase the awareness of entities operating in these markets and give the opportunity to reduce specific risks.